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Award Abstract #0325314
ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management


NSF Org: CNS
Division of Computer and Network Systems
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Initial Amendment Date: August 22, 2003
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Latest Amendment Date: June 6, 2006
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Award Number: 0325314
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Award Instrument: Continuing grant
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Program Manager: Anita J. LaSalle
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
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Start Date: September 15, 2003
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Expires: August 31, 2008 (Estimated)
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Awarded Amount to Date: $621001
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Investigator(s): Jan Mandel Jan.Mandel@ucdenver.edu (Principal Investigator)
Leopoldo Franca (Co-Principal Investigator)
Lynn Bennethum (Co-Principal Investigator)
Anatolii Puhalskii (Former Co-Principal Investigator)
Craig Johns (Former Co-Principal Investigator)
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Sponsor: University of Colorado at Denver
F428, AMC Bldg 500, Rm W1126
Aurora, CO 80045 303/724-0090
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NSF Program(s): ITR MEDIUM (GROUP) GRANTS
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Field Application(s): 0000099 Other Applications NEC
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Program Reference Code(s): HPCC, 9215, 2884, 1687, 1652
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Program Element Code(s): 1687

ABSTRACT



ITR: Collaborative Research: DDDAS:

Data Dynamic Simulation for Disaster Management

Janice L. Coen, Craig C. Douglas, Leopoldo P. Franca, Robert Kremens,

Jan Mandel, Anatolii Puhalskii, Anthony Vodacek, and Wei Zhao

This project will develop advanced Information Technology tools, mathematical models, and prototype infrastructure for disaster modeling and management. The project will bring comprehensive information and numerical prediction where it is needed, at the disaster command center, in real time.

The system will incorporate large volume of information from data streams, e.g., as maps, sensor, surveyance, and weather data, and the mathematical model will run on remote supercomputers. The model will be controlled by dynamically available data, and the results visualized in distributed devices, like laptops and palmtops connected to the Internet by wireless ethernet and a broadband satellite link. Other sensors and airborne imagers will also be networked wirelessly. The core of the envisioned modeling system will be an existing computer model of wildland and weather around the area, adn these models will be rewritten from scratch using modern software engineering methodology as a data driven application, and enhanced by new mathematical

modeling techniques together with advanced statistical

techniques will be used to manage uncertainty. High-performance middleware will be used to

connect computational nodes, sensor nodes, surveyance nodes, and visualization nodes into a

distributed information and modeling system. New network software technologies will make

the communication between the nodes secure and provide quality of service guarantees. The

system will be designed to tolerate interruptions of communication, increased latencies, and node

disappearances.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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A. Ononye, A. Vodacek, and E. Saber. "Towards automated extraction of fire line parameters from multispectral infrared images," Remote Sensing of Environment, v.108, 2007, p. 1389.

Beezley, JD; Mandel, J. "Morphing ensemble Kalman filters," TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, v.60, 2008, p. 131-140. 

C. C. Douglas and G. Haase. "Algebraic multigrid and Schur complement strategies within a multilayer spectral element ocean model," Contemporary Math., v.329, 2003, p. 89.

C. C. Douglas, J. Hu, J. Ray, D. T. Thorne, and R. Tuminaro. "Cache aware multigrid for variable coefficient elliptic problems on adaptive mesh refinement hierarchies ," Numerical Linear Algebra and Applications, v.11, 2004, p. 173.

C. C. Douglas, Y. Efendiev, R. Ewing, V. Ginting, and R. Lazarov. "Dynamic data driven simulations in stochastic environments," Computing, v.77, 2006, p. 321.

C.C. Douglas, Deng Li, T. Kako, M. Suzuki, and I. Hagiwari. "On a Novel perturbation expansion method for coupled systems of acoustics and structures," Computer and Mathematics with Applications, v.51, 2006, p. 1689.

C.C. Douglas, Y. Efendiev, V. Ginting, R. Lazarov. "Dynamic data-driven application simulation framework for contaminant transport problems," Computer and Mathematics with Applications, v.51, 2006, p. 1633.

Deng Li and C. C. Douglas. "Dynamic Data-Driven Application Simulation Projects (in Japanese)," Bulletin of the Japanese Society of Industrial and Applied Mathematics, v.15, 2005, p. 75.

Glueck, DH; Karimpour-Fard, A; Mandel, J; Hunter, L; Muller, KE. "Fast computation by block permanents of cumulative distribution functions of order statistics from several populations," COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.37, 2008, p. 2815-2824. 

J. Mandel and B. Sousedik. "Adaptive Selection of Face Coarse Degrees of Freedom in the BDDC and the FETI-DP Iterative Substructuring Methods," Computer Methods in Applied Mechanics and Engineering, v.196, 2007, p. 1389.


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Last Updated:April 2, 2007